Sounding Board: A User-Centric and Content-Driven Social Chatbot

Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf

Abstract
We present Sounding Board, a social chatbot that won the 2017 Amazon Alexa Prize. The system architecture consists of several components including spoken language processing, dialogue management, language generation, and content management, with emphasis on user-centric and content-driven design. We also share insights gained from large-scale online logs based on 160,000 conversations with real-world users.
Anthology ID:
N18-5020
Volume:
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Yang Liu, Tim Paek, Manasi Patwardhan
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
96–100
Language:
URL:
https://aclanthology.org/N18-5020
DOI:
10.18653/v1/N18-5020
Bibkey:
Cite (ACL):
Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, and Mari Ostendorf. 2018. Sounding Board: A User-Centric and Content-Driven Social Chatbot. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 96–100, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
Sounding Board: A User-Centric and Content-Driven Social Chatbot (Fang et al., NAACL 2018)
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PDF:
https://preview.aclanthology.org/naacl24-info/N18-5020.pdf
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